Representation learning via Dual-Autoencoder for recommendation.
Neural Netw. 2017 Mar 27;90:83-89
Authors: Zhuang F, Zhang Z, Qian M, Shi C, Xie X, He Q
Abstract Recommendation has provoked vast amount of attention and research in recent decades. Most previous works employ matrix factorization techniques to learn the latent factors of users and items.